(More) Transparency Transformation
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The document discusses a proposed solution architecture for exposing and analyzing government data using Web-oriented architecture principles. Key points include: 1) Describing technologies for exposing raw data and publishing structured data on the web for access and analysis. 2) Enabling interoperability across published data sources to achieve large-scale data federation. 3) Consuming and transforming data using widgets and services for interactive use and integration by stakeholders. 4) Leveraging cloud computing for web-scale business intelligence and data archive analysis.
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A main objective of this paper is using artificial intelligence technique to web service agents and increase the efficiency of the agent communications. In recent years, web services have played a major role in computer applications. Web services are essential, as the design model of applications are dedicated to electronic businesses. This model aims to become one of the major formalisms for the design of distributed and cooperative applications in an open environment (the Internet). Current commercial and research-based efforts are reviewed and positioned within these two fields. A web service as a software system designed to support interoperable machine-to-machine interaction over a network. It has an interface described in a machine-process able format (specifically Web Services Description Language WSDL). Other systems interact with the web service in a manner prescribed by its description using SOAP messages, typically conveyed using HTTP with an XML serialization in conjunction with other Web-related standards. Particular attention is given to the application of AI techniques to the important issue of WS composition. Within the range of AI technologies considered, we focus on the work of the Semantic Web and Agent-based communities to provide web services with semantic descriptions and intelligent behavior and reasoning capabilities. Re-composition of web services is also considered and a number of adaptive agent approaches are introduced and implemented in publication domain with three dimensional databases and one of the areas of work is eCommerce.
ITEC 610 Assingement 1 Essay
Here are the key advantages and disadvantages of service-oriented architecture (SOA):
Advantages:
- Loose coupling: Services can easily be modified or replaced without affecting other services. This improves flexibility and maintainability.
- Reusability: Services can be reused in different applications, reducing development time and costs.
- Scalability: It's easier to increase or decrease capacity by adding/removing services as needs change.
- Interoperability: Services use standards-based interfaces, making it easier for different systems to communicate.
Disadvantages:
- Complexity: SOA introduces additional layers of abstraction and complexity in architecture, development, and management.
- Performance overhead: Additional processing is required for service abstraction
Web 2 0 Tools
Rich Internet Applications (RIAs) are web applications that offer functionality similar to desktop applications through a combination of client-side processing and data manipulation on the server-side. Some key technologies used to create RIAs include Adobe Flex, Google Web Toolkit, and frameworks that use AJAX. AJAX allows for asynchronous data exchange between the client and server for a more interactive user experience compared to traditional web pages.
Web2 0 Incredibles
Web 2.0 emphasizes online collaboration, sharing, and user participation through technologies like AJAX, RSS, and SOAP. It is now being adopted in enterprises, though challenges remain around enterprise context, security, and cultural differences. A market study found satisfactory returns on investment for Web 2.0 applications. Web 3.0, also called the semantic web, aims to organize the world's information by enabling computers to reason about data.
R01765113122
1) The document proposes a system for a semantic web information retrieval service using domain ontology, WCF services, and .NET technologies to improve search in a distributed environment.
2) It involves developing three web services - one to extract search engine result pages based on a user query, one to pre-process the query and results using domain ontology and semantic annotation, and one to determine and compare the link and page content against a repository to calculate relevancy.
3) The most relevant results are then re-ranked based on the total relevancy calculated from the link and page content matching to provide more precise search results compared to traditional keyword-based approaches.
Design and Implementation of SOA Enhanced Semantic Information Retrieval web ...
The document describes a proposed system for a semantic web information retrieval service using domain ontology, WCF services, and .NET technologies. It discusses implementing concept relevancy ranking of link and page content as web services. The system architecture includes an admin module to create domain ontology and semantic annotations, a search interface for users, and a testing module. Experimental results show the proposed approach provides more relevant results than traditional search engines for the sample query "company cts chennai taramani".
What are the different types of web scraping approaches
The importance of Web scraping is increasing day by day as the world is depending more and more on data and it will increase more in the coming future. And web applications like Newsdata.io news API that is working on Web scraping fundamentals. More and more web data applications are being created to satisfy the data-hungry infrastructures. And do check out the top 21 list of web scraping tools in 2022
Towards an architecture and adoption process for Linked Data technologies in ...
Towards an architecture and adoption process for Linked Data technologies in ...Jose Emilio Labra Gayo
The document proposes an architecture and adoption process for implementing Linked Data technologies at the Library of Congress of Chile. It describes applying the approach to publish over 300,000 norms and their relationships as Linked Data. Key aspects included developing domain ontologies, modeling the data as RDF graphs, implementing SPARQL and update services, and creating documentation and visualization tools. The process provides a methodology for public institutions to publish their data as Linked Open Data.L19 Application Architecture
This document discusses application architecture and considerations for different layers including presentation, domain, and data source layers. It covers topics like layering, client types, content delivery, domain layer patterns like transaction script, domain model and table module. It also discusses data source layer patterns like gateway, active record and data mapper. Finally, it provides an example of implementing user signup in the Play! framework.
1213532535.pdf
This document discusses the W3C's vision for the Web of Things (WoT) and their efforts to standardize it. The WoT aims to make IoT development easier by treating "things" as resources that can be discovered and controlled via web APIs and scripts. The W3C is developing standards for thing descriptions, scripting APIs, and security to allow interoperability across platforms and reduce data silos. Their goal is for the WoT to fuel an open market of IoT applications and services in the same way the web has for software.
Bibliotheken en cloud computing
Bibliotheken en cloud computingVlaamse Vereniging voor Bibliotheek, Archief & Documentatie vzw (VVBAD)
This document discusses cloud computing and its potential applications for libraries. It begins by defining cloud computing and providing examples. It then discusses the benefits of cloud computing for enterprises and libraries, including cost savings, scalability, and the ability to focus on core services. The document outlines some ideas for applying cloud computing architecture to library management services. This would include building services around infrastructure, data, and community. It envisions a cooperative platform that allows libraries to develop and share applications. The platform could support collaboration and innovation across libraries.Semi Automatic to Improve Ontology Mapping Process in Semantic Web Data Analysis
This document summarizes a research paper about developing a semi-automatic ontology mapping system to improve integration of data from different ontologies on the semantic web. It discusses how the system uses techniques from computational linguistics, information retrieval, and machine learning to map ontologies in an iterative process. The system performs various natural language processing tasks and leverages external resources like domain thesauri and WordNet to strengthen matches during the mapping process. Preliminary case studies show promising results for the semi-automatic ontology mapping system.
Dublinked tech workshop_15_dec2011
The document provides an overview of the Dublinked Technology Workshop held on December 15th, 2011. It includes presentations on transportation data, spatial web services, linked data, and semantic data description. Breakout sessions covered topics like data publishing, discovery, web services, and advanced functions. The workshop aimed to address challenges around sharing digital data between organizations and discussed technical requirements and tools to support open government data platforms.
Technology Overview
The document discusses several technology topics including:
1. SOA and its benefits such as facilitating interoperability and promoting technology reuse.
2. Cloud computing and common questions around it such as what cloud computing is, how many clouds there will be, and what's new in cloud computing.
3. An example scenario of a company called FredsList gradually adopting more cloud capabilities for their listings website, from basic storage to search, photos, analytics and performance optimization.
Resume - Paul Chambless
This document summarizes the experience and skills of a data architecture specialist with over 20 years of experience in IT. The specialist has extensive experience in data modeling, mapping, and governance. Key skills include MS Access, SQL, Teradata, Oracle, and data modeling. Professional experience includes roles in data warehousing, business intelligence, and metadata management. The specialist has worked on large projects involving data migration, consolidation, and governance.
17 applied architectures
The document discusses several topics related to software architecture including:
1. It outlines distributed and networked architectures as well as limitations of distributed systems and principles of REST architectures.
2. It provides examples of the architecture of the World Wide Web and commercial internet-scale applications like Akamai and Google.
3. It discusses architectural lessons learned from Google including using abstraction layers, designing for failure, prioritizing scale, and developing specialized yet reusable solutions.
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Open Health Knowledge Graphs
This document summarizes an agenda for a session on open health knowledge graphs. The session will:
1) Introduce the business value of linked data and how it enables integration across disparate data publishers.
2) Describe the healthdata.gov platform and new functionality to programmatically expose tabular and graph data.
3) Set the context for follow-up sessions reviewing developer challenges and opportunities to contribute to healthdata.gov as a knowledge graph.
Realizing the GPRAMA using Government Linked Data
This presentation was given at the 2011 DoD symposium on SOA & Semantic Technology, and demonstrates the use of open standard metadata tags to implement the Government Performance and Results Act Modernization Act (GPRAMA) using topical examples like cloud computing, and the meaningful use of electronic health record exchanges.
HealthData.gov Challenge Webinar
This is a presentation given for a HealthData.gov Developer Challenge; see
http://www.health2con.com/devchallenge/health-data-platform-metadata-challenge/
and/or
http://www.health2con.com/devchallenge/health-data-platform-simple-sign-on-challenge/
(both links contain the same embedded video and deck)
US-UK HHS-NHS Summit
1. George Thomas from the HHS OCIO discussed the health knowledge graph (GKG) which models relationships between things to help systems like Watson, Siri understand context.
2. He advocated for an open health knowledge graph to integrate health data from sources like healthdata.gov and link datasets.
3. The graph would use common schemas like schema.org and provide tools for users to edit, curate and link data.
HDI III - Healthdata.gov - Now, Next and Challenges
This is a presentation that will be given at the 2012 Health Datapalooza (http://hdiforum.org), describing the new healthdata.gov site, its PaaS/DaaS direction, and related i2/ONC developer challenges.
Clinical Quality Linked Data on health.data.gov
This document provides an overview of the Clinical Quality Linked Data (CQLD) project at CMS. It discusses key concepts of linked data including using URIs to identify things and provide information about those things online. It describes CQLD's conventions for assigning URIs to clinical concepts and data. CQLD aims to create a linked data "cloud" that integrates clinical quality data from various health organizations using common standards like RDF and SPARQL to enable new applications and insights.
CQLD on health.data.gov @ SemTech 2011
This document summarizes efforts to publish clinical quality data from health.data.gov as linked open data. It describes releasing metadata and data from the Hospital Compare project as RDF using vocabularies like VoID, FOAF and DC. Tools like Google Refine, Top Braid Composer and Virtuoso were used to transform, model and serve the data. A community of practice seeks to evolve standards and share best practices for publishing government linked data.
Learn by doing
This document proposes a project called Learn By Doing (LBD) to demonstrate an "Acquisition 2.0" approach to cloud computing procurement. The LBD project would involve standing up a hybrid cloud using open source software to provide infrastructure and platform services. This cloud environment would serve as an "innovation sandbox" and procurement example. The project aims to help agencies better understand cloud types and procurement while providing a working system to develop requirements and contracting documents in collaboration with stakeholders.
Gt health2stat 7-22-2010
The document discusses the evolution of the web from a web of linked documents to a web of linked data. It explains that the data web uses the Resource Description Framework (RDF) to create custom link types between data in triples. By linking open government data, agencies can automatically infer relationships and integrate disparate data sources. When combined with social aspects, the social data web allows collaboration to enhance data quality.
George thomas gtra2010
The document discusses using semantic web technologies like linked data and vocabularies to integrate government data on Data.gov. It describes how common and domain-specific vocabularies can be used along with URI schemes to connect related data across agencies. Interlinking vocabularies allow integration of metadata and data without changing existing schemas. Social media features could be added to make vocabularies and data function as social objects that users can annotate and discuss.
Implementing the Open Government Directive using the technologies of the Soci...
This presentation demonstrates the use of Semantic Web technologies with Social Networking tools, considering metadata specifications as Social Media. Example ontologies and instance data from the Capital Planning and Investment Control and Business Motivation are created that link 'what' (Agency IT investments) with 'why' (Agency goals and objectives), using a simple linking ontology. Knowledge Workers use a Semantic Halo Mediawiki to curate the data.
Recovery.Gov
The document discusses plans for an open government project to create a transparent and accessible system for tracking federal spending through recovery efforts using semantic web and linked open data technologies. Key aspects include exposing financial and award data in multiple formats, modeling financial and project lifecycles as concepts, integrating data from multiple sources using graph databases, and leveraging open source tools and crowdsourcing to build reusable components and dashboards.
Transparency Transformation
A presentation that captures some basic ideas about connecting planning data with spending data, part of my OMB detail in support of the Obama Administration transparency and open Government goals.
Office 2.0 at GSA OCIO Offsite
Using Web2.0 technologies to enhance eGov information worker productivity towards information sharing transparency
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